Mexico City, Mexico
Actively hiring, first seen by us 12 days agoYou will be reporting to the Manager of Tax Data Mart, and play an integral role in DoorDash’s data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users.
As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company’s exponential growth.
Design, build, and maintain scalable ETL/ELT data pipelines
Develop and optimize data models and warehouse structures
Monitor data quality and resolve data issues for business partners
Work with Analytics and Data Science on validating new data sources
Use AI-assisted tooling to automate recurring data tasks
You will be reporting to the Manager of Tax Data Mart, and play an integral role in DoorDash’s data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users.
As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company’s exponential growth.
Design, build, and maintain scalable, reliable data pipelines (ETL/ELT) that serve data across the company
Develop and optimize data models and warehouse structures to support analytics and reporting
Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners.
Work closely with Analytics, Data Science, and business partners in the development and validation of new data sources.
Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines.
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.
In the employer’s words · Read in context
Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 12
Similar jobs usually come down between day 6 and day 54.
At DoorDash Mexico, jobs usually come down by about day 37.
From 10,845 similar postings that came down, and 8 of DoorDash Mexico’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- You are an expert at using SQL with experience using Snowflake. - Proficiency in Python (or a comparable language) for building data pipelines. - Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka.
- Experience using Claude, Cursor and similar AI tools. - You are an expert at using SQL with experience using Snowflake. - Proficiency in Python (or a comparable language) for building data pipelines.
- You have 5+ years of experience in a data engineering or similar role. - Experience using Data Build Tool (DBT) or a similar product to manage data flows. - Experience using Claude, Cursor and similar AI tools.
- Proficiency in Python (or a comparable language) for building data pipelines. - Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka. - You have strong attention to detail and analytical, organizational, and problem-solving skills.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
DoorDash is looking for an experienced Data Engineer to join our growing Tax Data Mart team. This role will be a key contributor to the team and will be responsible for building and operating the data pipelines and infrastructure that power analytics and decision-making across the company.
As DoorDash continues to grow its global footprint across multiple business lines, we are looking for a candidate with experience designing and maintaining scalable data systems. This person will support and grow our unique community via your blend of engineering, technology, and process improvement experience.
You will be reporting to the Manager of Tax Data Mart, and play an integral role in DoorDash’s data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users.
As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company’s exponential growth.
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
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Mexico City, Mexico
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